Found 4137 results
[ Author(Desc)] Title Type Year
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Xing, E. P., Sharan R., & Jordan M. I. (2004).  Bayesian Haplotype Inference via the Dirichlet Process. Proceedings of the Second RECOMB Satellite Workshop on Computational Methods for SNP and Haplotypes. 99-112.
Xing, E. P., & Karp R. M. (2004).  MotifPrototyper: A Bayesian Profile Model for Motif Families. Proceedings of the National Academy of Sciences of the United States of America. 101(29), 10523-10528.
Xing, E. P., Jordan M. I., & Karp R. M. (2001).  Feature Selection for High-Dimensional Genomic Microarray Data. Proceedings of the 18th International Conference on Machine Learning (ICML 2001). 601-608.
Xing, E. P., Jordan M. I., Karp R. M., & Russell S. (2002).  A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences.
Xing, E. P., Sharan R., & Jordan M. I. (2004).  Bayesian Haplotype Inference via the Dirichlet Process. Proceedings of ICML 2004.
Xing, E. P., & Karp R. M. (2001).  CLIFF: Clustering of High-Dimensional Microarray Data via Iterative Feature Filtering Using Normalized Cuts. 17, S306-S315.
Xing, E. P., Ng A.. Y., Jordan M. I., & Russell S. (2002).  Distance Metric Learning, with Application to Clustering with Side-Information.
Xing, E. P., Wu W.., Jordan M. I., & Karp R. M. (2003).  LOGOS: A Modular Bayesian Model for de Novo Motif Detection. Proceedings of IEEE Computer Society Bioinformatic Conference IPTPS.
Xiong, Y., Saenko K., Darrell T., & Zickler T. (2012).  From Pixels to Physics: Probabilistic Color De-rendering.
Xiong, Y., Scharstein D., Chakrabarti A., Darrell T., Sun B., Saenko K., et al. (2014).  Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(11), 2185-2198.
Xu, P., Yang J., Roosta-Khorasani F., Re C., & Mahoney M. W. (2016).  Sub-sampled Newton Methods with Non-uniform Sampling. Proceedings of the 2016 NIPS Conference.
Yago, C.. M., Ruiz P. M., & Gómez-Skarmeta A. (2005).  Metodo de Eliminacion de Reenvios Basado en Contador y Adaptable a la Movilidad para Reducir la Sobrecarga de Datos al Encaminar. Proceedings of the V Jornadas de Ingenieria Telematica.
Yakimovsky, Y.., & Feldman J. (1973).  A Semantics-Based Decision Theory Region Analyser. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 1973). 580-588.
Yaman, S., Hakkani-Tür D., & Tur G. (2009).  Combining Semantic and Syntactic Information Sources for 5-W Question Answering. 2707-2710.
Yaman, S., Tur G., Vergyri D., Hakkani-Tür D., Harper M. P., & Wang W. (2009).  Anchored Speech Recognition for Question Answering. 265-268.
Yaman, S., & Lee C-H. (2008).  A Comparison of Single- and Multi-Objective Programming Approaches to Problems with Multiple Design Objectives. Journal of Signal Processing Systems.
Yaman, S., Hakkani-Tür D., Tur G., Grishman R., Harper M. P., McKeown K. R., et al. (2009).  Classification-Based Strategies for Combining Multiple 5-W Question Answering Systems. 2703-2706.
Yang, J., Chow Y-L., Re C., & Mahoney M. W. (2015).  Weighted SGD for ℓp Regression with Randomized Preconditioning. Proceedings of the 27th Annual SODA Conference. 558-569.
Yang, H. Hua, Sharma S., van Vuuren S., & Hermansky H. (2000).  Relevance of Time-Frequency Features for Phonetic and SpeakerChannel Classification. Speech Communication. 1(31), 35-50.
Yang, J., Rübel O., Prabhat, Mahoney M. W., & Bowen B. P. (2015).  Identifying Important Ions and Positions in Mass Spectrometry Imaging Data Using CUR Matrix Decompositions. Analytical Chemistry. 87(9), 4658-4666.
Yang, F., Tur G., & Shriberg E. (2008).  Exploiting Dialog Act Tagging and Prosodic Information for Action Item Identification. 4941-4944.
Yang, W-Y., Novembre J., Eskin E., & Halperin E. (2012).  A Model-Based Approach for Analysis of Spatial Structure in Genetic Data. Nature Genetics. 44, 725-731.
Yang, H. Hua, & Hermansky H. (2000).  Search for Information Bearing Components in Speech. 12,
Yang, J., Sindhwani V., Fan Q., Avron H., & Mahoney M. W. (2014).  Random Laplace Feature Maps for Semigroup Kernels on Histograms.
Yang, J., Mahoney M. W., Saunders M. A., & Sun Y. (2016).  Feature-distributed sparse regression: a screen-and-clean approach. Proceedings of the 2016 NIPS Conference.